Back to blogs

How Generative AI is being used for BFSI Sector in 2024

This blog will walk you how Generative AI stands as a very powerful force for BFSI Sector and how its transforming the entire industry from inside

Raghav Aggarwal

Raghav Aggarwal

March 5, 2024

Generative AI for BFSI Sector, Banks and AI, Bank of America, AI for Banks, How do banks use AI
TL;DR Summary
Why is AI important in the banking sector? The shift from traditional in-person banking to online and mobile platforms has increased customer demand for instant, personalized service.
AI Virtual Assistants in Focus: Banks are investing in AI-driven virtual assistants to create hyper-personalised, real-time solutions that improve customer experiences.
What is the top challenge of using AI in banking? Inefficiencies like higher Average Handling Time (AHT), lack of real-time data, and limited personalization hinder existing customer service strategies.
Limits of Traditional Automation: Automated systems need more nuanced queries, making them less effective for high-value customers with complex needs.
What are the benefits of AI chatbots in Banking? AI virtual assistants enhance efficiency, reduce operational costs, and empower CSRs by handling repetitive tasks and offering personalized interactions
Future Outlook of AI-enabled Virtual Assistants: AI will transform the role of CSRs into more strategic, relationship-focused positions while continuing to elevate the customer experience in banking.
Why is AI important in the banking sector?The shift from traditional in-person banking to online and mobile platforms has increased customer demand for instant, personalized service.
AI Virtual Assistants in Focus:Banks are investing in AI-driven virtual assistants to create hyper-personalised, real-time solutions that improve customer experiences.
What is the top challenge of using AI in banking?Inefficiencies like higher Average Handling Time (AHT), lack of real-time data, and limited personalization hinder existing customer service strategies.
Limits of Traditional Automation:Automated systems need more nuanced queries, making them less effective for high-value customers with complex needs.
What are the benefits of AI chatbots in Banking?AI virtual assistants enhance efficiency, reduce operational costs, and empower CSRs by handling repetitive tasks and offering personalized interactions.
Future Outlook of AI-enabled Virtual Assistants:AI will transform the role of CSRs into more strategic, relationship-focused positions while continuing to elevate the customer experience in banking.
TL;DR

Generative Artificial Intelligence (Gen AI) is reshaping the landscape of the Banking, Financial Services, and Insurance (BFSI) sector worldwide. As organizations embrace this transformative technology, they unlock new opportunities for efficiency, personalization, and risk management. Let’s explore how Gen AI is revolutionizing the global BFSI industry, backed by real-world case studies and research data.

Understanding Generative AI

Generative AI refers to a subset of AI technologies capable of creating novel content, solutions, and data patterns. Unlike traditional predictive models, Gen AI generates original outputs based on learned patterns. It leverages advanced machine learning algorithms, particularly neural networks, to mimic and create new data.

The Transformative Potential

1. Fraud Detection

Generative AI plays a crucial role in detecting fraudulent activities. Here’s how:

  • Synthetic Data Comparison: By generating synthetic data and comparing it with actual data, Generative AI identifies patterns indicative of fraud. Financial institutions can then develop more effective fraud detection models.

Example: JPMorgan Chase uses Gen AI to detect anomalies in transaction data, preventing fraudulent activities. This has led to substantial cost savings and increased customer trust.

2. Risk Assessment

Risk assessment is a critical function in BFSI. Generative AI enhances risk prediction by:

  • Scenario Simulation: It generates synthetic data based on historical records and simulates various scenarios. This helps assess the probability of different outcomes, aiding informed decision-making.

3. Customer Service

Personalized customer service is a priority for BFSI organizations. Generative AI contributes by:

  • Recommendation Engines: Based on a customer’s financial history and preferences, Generative AI generates personalized product and service recommendations. This targeted approach enhances customer satisfaction.

Example: HSBC’s virtual assistant, powered by Gen AI, provides personalized investment advice, improving customer engagement and satisfaction.

4. Portfolio Optimization

Optimizing investment portfolios is essential for financial institutions. Generative AI assists by:

  • Scenario Modeling: It generates synthetic data to simulate different investment scenarios. By identifying diversification opportunities, financial institutions can develop effective investment strategies.

5. Operational Efficiency

Gen AI automates routine tasks, streamlines processes, and generates reports.

Example: UBS employs Gen AI for algorithmic trading, optimizing investment strategies based on real-time market data. This has significantly improved trading accuracy.

Research Insights

  • 82% of BFSI respondents increased investments in AI and/or ML in the past one to two years.
  • An astonishing 87% planned to invest in AI-ML in the next one to two years.
  • The global Generative AI market in BFSI is estimated to reach around USD 12,337.87 million by 2032, underscoring the profound impact of this technology in harnessing the power of data analytics and automation to streamline operations, enhance efficiency, and reduce costs

Real-Life Case Studies

1. DBS Bank (Singapore)

DBS Bank leverages Gen AI for personalized wealth management. Their AI-driven chatbot assists customers in investment decisions, resulting in higher engagement and improved portfolio performance.

2. ING Group (Netherlands)

ING Group uses Gen AI to enhance credit risk assessment. By analyzing vast datasets, the system predicts default probabilities more accurately, leading to better lending decisions.

3. Standard Chartered (Global)

Standard Chartered employs Gen AI for anti-money laundering (AML) compliance. The system detects suspicious transactions, ensuring regulatory compliance and safeguarding against financial crimes.

Conclusion

Generative AI transcends borders, impacting BFSI organizations globally. As we navigate this AI-driven future, transparency, compliance, and validation remain critical. The journey continues, fueled by Gen AI’s potential for better customer experiences, risk mitigation, and operational excellence.

At Fluid AI, we stand at the forefront of this AI revolution for BSFI Sector having experience of working with Bank of America, Royal bank of Canada etc and helping other organizations kickstart their Generative AI journey. If you’re seeking a solution for your organization, look no further. We’re committed to making your organization future-ready, just like we’ve done for many others.

Take the first step towards this exciting journey by booking a free demo call with us today. Let’s explore the possibilities together and unlock the full potential of AI for your organization. Remember, the future belongs to those who prepare for it today.

Unlock Your Business Potential with AI-Powered Solutions
Request a Demo

Join our WhatsApp Community

AI-powered WhatsApp community for insights, support, and real-time collaboration.

Thank you for reaching out! We’ve received your request and are excited to connect. Please check your inbox for the next steps.
Oops! Something went wrong.
Join Our
Gen AI Enterprise Community
Join our WhatsApp Community

Tired of your data gathering dust ?
Lets put it to work with AI

Talk to our Enterprise GPT Specialists!

Fluid AI’s Agentic AI Enterprise Platform: Live Flow Building

Register Now!
x